the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
The coupled atmosphere–chemistry–ocean model SOCOL-MPIOM
S. Muthers
J. G. Anet
A. Stenke
C. C. Raible
E. Rozanov
S. Brönnimann
T. Peter
F. X. Arfeuille
A. I. Shapiro
F. Steinhilber
Y. Brugnara
W. Schmutz
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Climate and weather in spring are important because they can have far-reaching impacts, e.g. on plant growth, due to cold spells. Here, we study changes in climate and phenological indices for the period from 1763 to 2020 based on newly published reconstructed fields of daily temperature and precipitation for Switzerland. We look at three cases of extreme spring conditions, namely a warm spring in 1862, two frost events in 1873 and 1957, and three cold springs in 1785, 1837, and 1852.
atmospherically relevantchemical species on a fairly abundant mineral surface
Quartz. We of course discuss these chemical interactions from the perspective of fate of airborne mineral dust but the same interactions could be interesting for studies on minerals at the ground level.
atmospherically relevantchemical species on fairly abundant mineral surfaces like feldspars and clays. We of course discuss these chemical interactions from the perspective of fate of airborne mineral dust but the same interactions could be interesting for studies on minerals at the ground level.
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FINAM is not a model), a new coupling framework written in Python to dynamically connect independently developed models. Python, as the ultimate glue language, enables the use of codes from nearly any programming language like Fortran, C++, Rust, and others. FINAM is designed to simplify the integration of various models with minimal effort, as demonstrated through various examples ranging from simple to complex systems.
This study introduces a new 3D lake–ice–atmosphere coupled model that significantly improves winter climate simulations for the Great Lakes compared to traditional 1D lake model coupling. The key contribution is the identification of critical hydrodynamic processes – ice transport, heat advection, and shear-driven turbulence production – that influence lake thermal structure and ice cover and explain the superior performance of 3D lake models to their 1D counterparts.